Skip to main navigation Skip to search Skip to main content

Distributed formation tracking of nonholonomic autonomous vehicles via event-triggered and sampled-data method

  • Xing Chu
  • , Zhaoxia Peng*
  • , Guoguang Wen
  • , Ahmed Rahmani
  • *Corresponding author for this work
  • Yunnan University
  • Beijing Jiaotong University
  • Ecole Centrale de Lille

Research output: Contribution to journalArticlepeer-review

Abstract

This paper addresses the distributed formation tracking control problem for multi-vehicle systems with nonholonomic constraints, by the aid of event-triggered and sampled-data control methods. Two classes of event-triggered communication and control strategies with fixed sampling period are considered. By designing different event conditions, the communications amongst neighbouring vehicles are allowed at each sampling time instant in the first strategy, whereas the control input of each vehicle is updated only when its own or neighbours’ event conditions are violated. Furthermore, both communication and control update are allowed only when the events of itself or neighbours are triggered in another strategy. To this end, an unified event-triggered and distributed observer-based controller with globally asymptotic convergence rate is proposed. And corresponding sufficient conditions are derived regarding to two types of event conditions, based on Lyapunov technique, matrix analysis and algebraic graph theory. It is worth noting that the Zeno-behaviour of systems with the presented controllers and event conditions is naturally avoided for all the vehicles due to the advantageous property of sampled-data control. Finally, simulations are provided to verify the effectiveness of the obtained theoretical results.

Original languageEnglish
Pages (from-to)2243-2254
Number of pages12
JournalInternational Journal of Control
Volume92
Issue number10
DOIs
StatePublished - 3 Oct 2019

Keywords

  • Multi-vehicle systems
  • distributed observer
  • event-triggered mechanism
  • formation tracking
  • nonholonomic constraint
  • sampled-data control

Fingerprint

Dive into the research topics of 'Distributed formation tracking of nonholonomic autonomous vehicles via event-triggered and sampled-data method'. Together they form a unique fingerprint.

Cite this